• Journal of the Korea Computer Graphics Society
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• v.14 no.3
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• pp.19-30
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• 2008

Fluid simulation for computer graphics is a field of generating the realistic movements of water, smoke, fire, explosion, sand and related phenomena to be used in motion pictures and video games. In this paper we review the fluid simulation technologies and present a trend analysis for the simulation methods used in the recent movies. First of all, for this purpose, the two methods that are most widely used for fluid simulation are explained as well as their technical issues. These two methods are classified into Eulerian grid-based and Lagrangian particle-based approaches. Next, focusing on the achievements of the scientists and engineers that the 2008 Sci-Tech Oscar Awards are given to, the features of their fluid simulation technologies are analyzed. Finally, we anticipate that there are and will be the needs for visualizing fluid interaction with rigid and soft bodies and topological change among solid, fluid and gas, creating digital creatures based on fluid simulation and presenting interaction between creature and fluid.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.43-60
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• 2012

Identifying citing sentences from article full-text is a prerequisite for creating a variety of future academic information services such as citation-based automatic summarization, automatic generation of review articles, sentiment analysis of citing statements, information retrieval based on citation contexts, etc. However, finding citing sentences is not easy due to the existence of implicit citing sentences which do not have explicit citation markers. While several methods have been proposed to attack this problem for English, it is difficult to find such automatic methods for Korean academic literature. This article presents a rule-based approach to identifying Korean citing sentences. Experiments show that the proposed method could find 30% of implicit citing sentences in our test data in nearly 70% precision.

• Journal of Advanced Navigation Technology
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• v.24 no.3
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• pp.238-244
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• 2020

The development and distribution rate of smartphones have progressed so rapidly that it is safe for the entire nation to use them in the smart age, and the use of smartphones has become an essential medium for the use of domestic media content, and many people are using various contents regardless of gender, age, or region. Recently, various media outlets have been consuming video content for online learning, indicating that learners utilize video content online for learning. In the previous research, satisfaction studies were conducted according to the type of content, and the improvement plan was necessary because no research was conducted on how to evaluate the learning content itself and provide it to learners. In this paper, we would like to propose a system through evaluation and review of learning content itself as a way to improve the way of providing video content for learning and quality learning content.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.231-243
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• 2017

This paper provides a review of the electrical sensing biosensors and examine research cases of biosensors based on clothing and textiels. A biosensor which can measure bio-signals is a device that senses the physical and chemical characteristics of biological materials by using biological sensing materials. Therefore, wellness wear that is closely integrated with the user's real life will play an important role in achieving U-Health. The biosensors' unique feature which can be differentiated from the existing sensors is it's using of selective reactions and binding of biological substances. The electrical sensing biosensors are very small in size due to the processing of electrical signals, which can be used to create ubiquitous. Therefore, it is necessary to study electrical sensing biosensors that are easy to miniaturize to develop wellness wear. This paper describes the electrical sensing biosensor (an electrochemical method nanowire/carbon nanotube FET method) in detail. Finally, the future direction of biosensors to be applied to wellness wear is suggested.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.543-550
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• 2020

Interest in food recipe retrieval systems has been increasing recently. Most computer-based recipe retrieval systems are searched by cooking name or ingredient name. Since each recipe provides information in different weighing units, recalculations to the desired amount are necessary and inconvenient. This paper introduces a computer system that addresses these inconveniences. The system is a chatbot system, based on web-based recipe recommendations, for users familiar with the use of messenger conversation systems. After selecting the most popular recipes by their names, and pre-processing to extract only information required for the recipes, the system recommends recipes based on the 100,000 data. Recipes are then searched by the names of food ingredients (included and excluded). Recalculations are performed based on the number of servings entered by the user. A satisfaction rate for the systems' recommendations was 90.5%.

• Journal of the Korean Applied Science and Technology
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• v.29 no.2
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• pp.184-192
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• 2012

For use as recyclable power cable insulations without dielectric oil, technology trends of IPP based thermoplastic polyolefin elastomer(TPO) nanocomposites were reviewed. In 2010 research results of IPP nanocomposite dielectrics for power capacitors showed promising high voltage properties except dielectric loss. Research of IPP based TPO nanocomposites for automotive exterior parts revealed considerable improvements of mechanical properties including impact strength, especially minimization of compatibilizer content, the origin of dielectric loss. A study on electrical properties of IPP based TPO nanocomposites containing a few weight percent of nanofillers for power cable insulations is suggested.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2043-2051
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• 2017

Lately, In addition to the increased interest in the big data field, there is also a growing interest in application fields through the processing of big data. Opinion Mining is a big data processing technique that is widely used in providing personalized service to users. Based on this, in this paper, textual review of users' places is processed by Opinion mining technique and the sentiment of users was analyzed through k-means clustering. The same numerical value is given to users who have a similar category of sentiment classified as a clustering operation. We propose a method to show recommendation contents to users by predicting preference using collaborative filtering recommendation system with assigned numerical values and marking contents with markers on the map in order of places with high predicted value.

• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.441-451
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• 2017

In this paper, we review principal component analysis (PCA) procedures in the frequency domain and apply them to analyze sea surface temperature data. The classical PCA defined in the time domain is a popular dimension reduction technique. Extending the conventional PCA to the frequency domain makes it possible to define PCA in the frequency domain, which is useful for dimension reduction as well as a feature extraction of multiple time series. We focus on two PCA methods in the frequency domain, Hilbert PCA (HPCA) and frequency domain PCA (FDPCA). We review these two PCAs in order for potential readers to easily understand insights as well as perform a numerical study for comparison with conventional PCA. Furthermore, we apply PCA methods in the frequency domain to sea surface temperature data on the tropical Pacific Ocean. Results from numerical experiments demonstrate that PCA in the frequency domain is effective for the analysis of time series data.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.6 no.3
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• pp.399-405
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• 1996

The present buried contact (BC) solar cell research at SAIT includes the development of a processing sequence suitable for production of the single sided (SS) BC solar cells. This paper presents some results for large area ($45cm^{2}$) SSBC cells fabricated on FZ and CZ silicon substrates. Cell efficiencies in excess of 18% fabricated on FZ, p-type, 0.5 ohm-cm, and over 16% on CZ p-type, 10~20 ohm-cm, wafers have been demonstrated. Both the FZ and CZ wafers were chemically textured. These results are preliminary and the exploration of double sided (DS) sequence, which is the future BC structure would lead to over 17% and 20% efficiency cells on CZ and FZ substrates respectively. The cost of solar cells can be reduced further if the many high temperature steps can be reduced to only one. This would be very advantageous to very poor quality substrates such as the CZ grown wafers.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.10
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• pp.69-76
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• 2016

In this paper, an efficient image denoising method using non-local means (NL-means) method in the transform domain is proposed. Survey for various image denoising methods has been given, and the performances of the image denoising method using NL-means method have been analyzed. We propose an efficient implementation method for NL-means method by calculating the weights for NL-means method in the DCT and LiftLT transform domain. By using the proposed method, the computational complexity is reduced, and the image denoising performance improves by using the characteristics of images in the tranform domain efficiently. Moreover, the proposed method can be applied efficiently for performing image denoising and image rescaling simultaneously. Extensive computer simulations show that the proposed method shows superior performance to the conventional methods.